expert system

Computer system that emulates the decision-making ability of a human expert

EntityQ184609

Subclass of: artificial intelligence
1
Sources
1.Stated in Medical Subject HeadingsRetrieved 2016-09-29
View statement on Wikidata ↗
, computer program
, knowledge-based system

Overview

From Wikipedia, the free encyclopedia · Read full article · Text CC BY-SA 4.0

In artificial intelligence (AI), an expert system is a computer system emulating the decision-making ability of a human expert. Expert systems are designed to solve complex problems by reasoning through bodies of knowledge, represented mainly as if–then rules rather than through conventional procedural programming code. Expert systems were among the first truly successful forms of AI software. They were created in the 1970s and then proliferated in the 1980s, being then widely regarded as the future of AI before the advent of successful artificial neural networks. An expert system is divided into two subsystems: 1) a knowledge base, which represents facts and rules; and 2) an inference engine, which applies the rules to the known facts to deduce new facts, and can include explaining and debugging abilities.

Overview

All data

58 statements · 21% with external sources · numbers in brackets are citations

Members / parts: knowledge base
inference engine
user interface
Has use: interpretation class of object(s) of occurrence: data
planning main subject: action
prediction
surveillance class of object(s) of occurrence: data
Significant person: Edward Feigenbaum
Significant event: Cyc(1984)

On other databases

46 identifiers linking expert system across the web's reference databases

Data quality

statements

21%

externally sourced

Source last edited July 10, 2026. AIDB refreshes this page daily.

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AIDB. (2026). expert system (Q184609). Retrieved from https://aidb.si/e/expert-system-Q184609